摘要
本文以25种贵州本地玉米种质为材料,在低温胁迫条件下,测定了植株鲜重、植株干重、根冠比、可溶性糖含量和叶绿素等生理指标,运用灰色关联度分析法对玉米苗期抗寒性鉴定指标进行筛选。发现根干重、植株干重、根鲜重和可溶性糖含量等指标与玉米抗寒性关系较为密切,根上部鲜重和叶绿素含量与抗寒的关联度最小。同时利用隶属函数法对玉米抗寒性进行综合评价,结果表明:金玉818、QB1013和黄C等种质抗寒性较强。
In order to study the cold resistance of different maize, 25 maize varieties were used as materials. Fresh weight, dry weight, root - shoot ratio, content of soluble sugar and content of chlorophyll were meas- ured after cold treatment, and cold resistance were studied by the method of grey correlation degree analysis. The results showed that the most relative characters to cold resistance were root dry biomass, total plant dry weight, root fresh weight and soluble sugar content, and the least relative characters were fresh weight and chlorophyll. Cold resistance of the maize varieties were evaluated by subordinate function method. The results showed that Jin -yu 818, QB1013, and Huang C performed much resistance to the coldness.
出处
《山地农业生物学报》
2017年第2期35-39,共5页
Journal of Mountain Agriculture and Biology
基金
国家转基因生物新品种培育科技重大专项子课题任务(2014ZX0801008B-002)
国家转基因生物新品种培育科技重大专项子课题任务(2014ZX08010-003)
贵州省科技厅转基因专项(黔科2004NZ004)
关键词
玉米
低温胁迫
抗寒性
隶属函数法
maize
low - temperature stress
cold resistance
subordinate function method
